> Markdown version of [/jobs/ext/4625304-data-scientist](https://www.wearedevelopers.com/jobs/ext/4625304-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Leidos, Inc. - **Location:** Alexandria, VA, United States - **Experience:** Experienced - **Salary:** $92,300 - $166,850 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Cloud Engineering, Cyber Security, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Migration, Data Security, Data Structures, Python (Programming Language), NoSQL, Operational Data Store, Standard Sql, DataOps, Scaled Agile Framework, Data Processing, Cloud Platform System, Backend, Data Management, Machine Learning Operations, Api Design, Data Pipelines, Programming Languages - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-scientist-alexandria-va--79710efe-b33f-432e-82b9-3dff692d851b ## About the Role Data Science, Data Science, Team Building, Information/Data Security (InfoSec), Data Processing, Database Technology, Data Management, Database Extract Transform and Load (ETL), Database Administration, Government, · 4+ years of experience working with SQL or NoSQL databases and cloud architectures · Experience leveraging APIs to query systems and migrate data · Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. · Experience with programming languages such as Python, JavaScript, or Java · Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces. · Bachelor's Degree in related field. Additional years of experience can be considered in lieu of degree Preferred Qualifications: · Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates. · Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise. · Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines Required Tasks: o #GEOINTMISSION ## Description Leidos is actively hiring for multiple Data Scientist to support our team in Alexandria, VA. The Data Scientist shall support the maintenance and implementation of the data architecture for all Program data. This position requires experience with databases, cloud architecture, and compliance with data standards. This position is responsible for maintaining data backend workflows that allow for the movement of data across security domains and across systems. Primary Responsibilities · Assist in the creation of the necessary data pipelines to store and process data related to emergent sensors and platforms. This includes creation of any database tables and schemas, establishing relevant data health alerts, and the setup of data pipelines to support Extract, Transform, and Load (ETL) of all data related to the emergent sensors. · Develop workflows to enable API-based movement of data related to the sensors between data platforms as directed by the government. · Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements · Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline · Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds (chipping), orthorectification, or other types of data standardization, transformation, or manipulation.